| commit | 384a7071a41bf6ff5cf5c7410ebb351effb2e47b | [log] [tgz] |
|---|---|---|
| author | e-strauss <92718421+e-strauss@users.noreply.github.com> | Fri Jun 09 12:15:36 2023 +0200 |
| committer | Arnab Phani <phaniarnab@gmail.com> | Fri Jun 09 12:15:58 2023 +0200 |
| tree | 58f437b519ee586846ea6da1f6730dde1d5ecb1c | |
| parent | 1fb8c5e680171d4fafa5a42a23be927b5600ccac [diff] |
[SYSTEMDS-3580] Add word embedding encoder This patch extends the transformapply API to accept the pre-trained word embeddings along with the dictionary as inputs. The new word embedding column encoder is placed after recode and replace the recoded indices with the embedding vectors. This addition removes the requirement of a matrix multiplication to produce the embedding matrix. The current implementation is slower than the baseline (w/ MatMult). The future commits will introduce a new dense block to deduplicate the large embeddings and multi-threading. Closes #1839
Overview: SystemDS is an open source ML system for the end-to-end data science lifecycle from data integration, cleaning, and feature engineering, over efficient, local and distributed ML model training, to deployment and serving. To this end, we aim to provide a stack of declarative languages with R-like syntax for (1) the different tasks of the data-science lifecycle, and (2) users with different expertise. These high-level scripts are compiled into hybrid execution plans of local, in-memory CPU and GPU operations, as well as distributed operations on Apache Spark. In contrast to existing systems - that either provide homogeneous tensors or 2D Datasets - and in order to serve the entire data science lifecycle, the underlying data model are DataTensors, i.e., tensors (multi-dimensional arrays) whose first dimension may have a heterogeneous and nested schema.
Quick Start Install, Quick Start and Hello World
Documentation: SystemDS Documentation
Python Documentation Python SystemDS Documentation
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Status and Build: SystemDS is renamed from SystemML which is an Apache Top Level Project. To build from source visit SystemDS Install from source
